{"id":"https://openalex.org/W4285804071","doi":"https://doi.org/10.3390/s22145299","title":"Machine-Learning-Based Fine Tuning of Input Signals for Mechano-Tactile Display","display_name":"Machine-Learning-Based Fine Tuning of Input Signals for Mechano-Tactile Display","publication_year":2022,"publication_date":"2022-07-15","ids":{"openalex":"https://openalex.org/W4285804071","doi":"https://doi.org/10.3390/s22145299","pmid":"https://pubmed.ncbi.nlm.nih.gov/35890981"},"language":"en","primary_location":{"id":"doi:10.3390/s22145299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145299","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5299/pdf?version=1657885598","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5299/pdf?version=1657885598","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062664020","display_name":"Shuto Yamanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuto Yamanaka","raw_affiliation_strings":["Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020954127","display_name":"Tatsuho Nagatomo","orcid":"https://orcid.org/0000-0003-3923-9484"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuho Nagatomo","raw_affiliation_strings":["Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036723801","display_name":"Takefumi Hiraki","orcid":"https://orcid.org/0000-0002-5767-3607"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takefumi Hiraki","raw_affiliation_strings":["Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba 305-8550, Ibaragi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba 305-8550, Ibaragi, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063015312","display_name":"Hiroki Ishizuka","orcid":"https://orcid.org/0000-0001-9920-6903"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Ishizuka","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9920-6903","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030225388","display_name":"Norihisa Miki","orcid":"https://orcid.org/0000-0002-5632-2143"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Norihisa Miki","raw_affiliation_strings":["Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5632-2143","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030225388"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.3097,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49023548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"14","first_page":"5299","last_page":"5299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398701071739197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967780947685242},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5704203844070435},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5236836671829224},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5010025501251221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4810652732849121},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4652553200721741},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46272435784339905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4276980459690094},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4135400652885437},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4127127528190613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398701071739197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967780947685242},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5704203844070435},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5236836671829224},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5010025501251221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4810652732849121},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4652553200721741},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46272435784339905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4276980459690094},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4135400652885437},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4127127528190613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014110","descriptor_name":"Touch","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014110","descriptor_name":"Touch","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014110","descriptor_name":"Touch","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055698","descriptor_name":"Touch Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055698","descriptor_name":"Touch Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055698","descriptor_name":"Touch Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145299","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5299/pdf?version=1657885598","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35890981","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35890981","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:66409ec5fb624b458854fdc2d2734ddf","is_oa":true,"landing_page_url":"https://doaj.org/article/66409ec5fb624b458854fdc2d2734ddf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 14, p 5299 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5299/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145299","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 14; Pages: 5299","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9320582","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9320582","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145299","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5299/pdf?version=1657885598","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1560672093","display_name":null,"funder_award_id":"JPMJCR19A2","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G3504864108","display_name":"Objective and Quantitative Assessment of Reproduction of Tactile Feeling","funder_award_id":"20H02121","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5073413535","display_name":"\u30bd\u30fc\u30b7\u30e3\u30eb\u30fb\u30b7\u30b0\u30ca\u30eb\u306e\u5171\u6709\u3068\u62e1\u5f35\u306b\u3088\u308b\u5171\u611f\u7684\u884c\u52d5\u306e\u652f\u63f4","funder_award_id":"JPMJCR19A2","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G5729260944","display_name":null,"funder_award_id":"JP20H02121","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G621845378","display_name":null,"funder_award_id":"JP20H02121","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G666337416","display_name":null,"funder_award_id":"JP20H02121","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285804071.pdf","grobid_xml":"https://content.openalex.org/works/W4285804071.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1964635155","https://openalex.org/W2012700187","https://openalex.org/W2027440346","https://openalex.org/W2056515056","https://openalex.org/W2079785378","https://openalex.org/W2143710843","https://openalex.org/W2161945598","https://openalex.org/W2609028283","https://openalex.org/W2612110125","https://openalex.org/W2758304172","https://openalex.org/W2942381176","https://openalex.org/W2966650904","https://openalex.org/W3080347705","https://openalex.org/W3115361070","https://openalex.org/W3215083509","https://openalex.org/W6631190155","https://openalex.org/W6747620207"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2538520412","https://openalex.org/W2371805284"],"abstract_inverted_index":{"Deducing":[0],"the":[1,10,15,25,38,54,58,63,70,80,110,117,136,140,145,149,153,156,159,170,176,182,197,204,223,230,244],"input":[2,118,224],"signal":[3],"for":[4,18,79,96,175,203,213,243,247],"a":[5,93,105,121,186,193,240],"tactile":[6,19,114,248],"display":[7,62,142],"to":[8,61,87,108,120,134,162,184,217,226],"present":[9],"target":[11,39,71],"surface":[12,40,64,137,160],"(i.e.,":[13],"solving":[14,97],"inverse":[16,98,245],"problem":[17,246],"displays)":[20],"is":[21,92,237],"challenging.":[22],"We":[23],"proposed":[24,235],"encoding":[26],"and":[27,51,116],"presentation":[28],"(EP)":[29],"method":[30,68,95,232,236],"in":[31,221],"our":[32],"prior":[33],"work,":[34],"where":[35],"we":[36,85,103,199],"encoded":[37,146,173],"by":[41,139],"scanning":[42],"it":[43],"using":[44,57,210,229],"an":[45,74],"array":[46],"of":[47,76,113,158,188],"piezoelectric":[48,55],"devices":[49,56],"(encoding)":[50],"then":[52],"drove":[53],"obtained":[59],"signals":[60,119,124],"(presentation).":[65],"The":[66,172,206,234],"EP":[67,150,231],"reproduced":[69],"texture":[72],"with":[73,196],"accuracy":[75,220],"over":[77],"80%":[78],"five":[81,163],"samples":[82,178],"tested,":[83],"which":[84,166],"refer":[86],"as":[88,127,169,181],"replicability.":[89],"Machine":[90],"learning":[91,212],"promising":[94],"problems.":[99],"In":[100],"this":[101],"study,":[102],"designed":[104],"neural":[106],"network":[107],"connect":[109],"subjective":[111],"evaluation":[112],"sensation":[115],"display;":[122],"these":[123],"are":[125],"described":[126],"time-domain":[128],"waveforms.":[129],"First,":[130],"participants":[131,154],"were":[132,167,179],"asked":[133],"touch":[135],"presented":[138],"mechano-tactile":[141],"based":[143],"on":[144],"data":[147,174],"from":[148],"method.":[151],"Then,":[152],"recorded":[155],"similarity":[157],"compared":[161,225],"material":[164,177],"samples,":[165],"used":[168,180],"input.":[171],"output":[183],"create":[185],"dataset":[187],"500":[189],"vectors.":[190],"By":[191],"training":[192],"multilayer":[194],"perceptron":[195],"dataset,":[198],"deduced":[200],"new":[201],"inputs":[202],"display.":[205],"results":[207],"indicate":[208],"that":[209,227],"machine":[211],"fine":[214],"tuning":[215],"leads":[216],"significantly":[218],"better":[219],"deducing":[222],"achieved":[228],"alone.":[233],"therefore":[238],"considered":[239],"good":[241],"solution":[242],"displays.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}